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1. Introduction
The study of high energy proton-proton, proton-nucleus, and nucleus-nucleus collisions [1–5] can provide a unique opportunity for ones to understand the strong interaction theory and nuclear reaction mechanism [6–10] and analyze the evolution processes of interacting system and quark-gluon plasma (QGP). At the same time, by this study, one can examine the standard model and other phenomenological models or statistical methods [11–14] and search for new physics beyond the standard model. This study also provides new information for people to understand the origin of the universe. As the basic element in nuclear collisions, proton-proton collisions are worth studying. Meanwhile, as a transition from proton-proton collisions to nucleus-nucleus collisions, proton-nucleus collisions are also worth studying.
With the development of modern experimental and detecting technology, the collision energy has been continuously improved. Meanwhile, more and more information about collision process can be accurately measured in experiments [15–19]. Because the collision time of interacting system is very short, one can only analyze the characteristics of final particles produced in the collisions to obtain the mechanisms of nuclear reactions and the properties of formed matter such as QGP.
Generally, the information of nuclear reactions in experiments can be obtained by measuring the transverse momentum spectrum and correlation, pseudorapidity or rapidity spectrum and correlation, anisotropic flow distribution and correlation, multiplicity distribution and correlation, nuclear modified factor, and so forth [15–19]. The transverse momentum spectrum is one of the most general objects in the study. It is measured by experiments and provides information about temperature and excitation degree of interacting system at the stage of kinetic freeze-out. Therefore, the study of transverse momentum spectrum of final particles is greatly significative in analyzing the mechanisms of nuclear reactions and the properties of QGP.
Many theoretical models and formulas have been applied for the descriptions of transverse momentum spectra. These models and formulas include, but are not limited to, the Boltzmann-Gibbs statistics [1–3], Lévy distribution [4, 5], Erlang distribution [6], Tsallis statistics [7–14], and so on. In this paper, we use a two-component statistical model to describe the experimental transverse momentum spectra of heavy quarkonia
In the following sections, we describe the formulism of the two-component statistical model in Section 2. The results and discussion are given in Section 3. Finally, the conclusions of the present work are given in Section 4.
2. The Formulism
Within the framework of the multisource thermal model [20–22], the emission sources of final particles produced in high energy collisions can be divided into several groups due to different interacting mechanisms, impact parameter ranges (centrality classes), or event samples. A typical classification is soft excitation and hard scattering processes [23–26], and even including very-soft excitation and very-hard scattering processes. Generally, one can use different models and formulas to describe different processes. In some cases, one can use the same model and formula to describe different processes. In other cases, one can use different models and formulas to describe the same process.
The Tsallis statistics has been widely applied for high energy collisions [27–31]. It describes different particle spectra in different processes, but not the heavy quarkonium spectra in very-hard process in some cases. For the soft and very-soft processes, the Boltzmann-Gibbs statistics [1–3] also play a main role in the description. For the hard and very-hard processes, an inverse power-law [32–35] play the main role in the description. For the transverse momentum (
In the Tsallis statistics [27–30], the invariant momentum (p) distribution is
In some cases, the experimental data are presented in a given rapidity range, which is generally not in the mid-rapidity region. We have to shift simply the given rapidity range to the mid-rapidity region by subtracting the mid-value of the given rapidity range and use (3) directly. If we consider the differences of rapidity in the given rapidity range or in the mid-rapidity region, a more accurate equation (2) which includes the integral for the rapidity can be used. If we consider the given rapidity range in the more accurate equation (2), the kinetic energy of directional movement will be included in the temperature, which causes a larger temperature and is not correct. In fact, in the mid-rapidity region, the difference between the minimum (maximum) rapidity and 0 is neglected. The more accurate equation (2) is not needed.
It should be noted that when we use the multisource thermal model and the Tsallis statistics, each group or process is assumed to stay in a local equilibrium state. The excitation degree of each group or process is described by the temperature parameter T, and the equilibrium degree is described by the entropy index q. A large T corresponds to a high excitation degree, and a large q (
The inverse power-law can describe the hard and very-hard processes. In [32–34], the inverse power-law is described by the Hagedorn function [35]; its parameterized form is expressed as
In the Hagedorn function, scattering between nucleons may be thought of in terms of valence quarks. To measure the scattering strength, the parameters
According to (3) and (4), we can structure a superposition of the Tsallis statistics and the inverse power-law, which results in a two-component statistical model as
It should be noted that there are two types of superposition for two components. Except for (5), another superposition is the step function or the Hagedorn model [35]
For a real fit process, we may select firstly a set of free parameters. Then, we may use the selected set of parameters in (3) and (4), and let the two equations be normalized to 1, respectively. The normalization constants
3. Results and Discussion
Figure 1 shows the transverse momentum spectra,
Table 1
Values of parameters and
Figure | Type | k | T (GeV) | q | | n | |
---|---|---|---|---|---|---|---|
Figure 1(a) | 2.0 | 0.890±0.010 | 0.440±0.007 | 1.085±0.006 | 1.622±0.008 | 5.000±0.020 | 0.096 |
2.5 | 0.900±0.005 | 0.435±0.005 | 1.085±0.006 | 1.622±0.008 | 5.050±0.017 | 0.164 | |
3.0 | 0.888±0.003 | 0.432±0.008 | 1.080±0.005 | 1.625±0.009 | 5.056±0.024 | 0.614 | |
3.5 | 0.895±0.005 | 0.440±0.005 | 1.066±0.007 | 1.623±0.007 | 5.050±0.018 | 0.450 | |
4.0 | 0.865±0.007 | 0.438±0.009 | 1.060±0.009 | 1.605±0.013 | 5.031±0.019 | 0.317 | |
| |||||||
Figure 1(b) | 2.0<y<2.5 | 0.902±0.005 | 0.468±0.007 | 1.113±0.007 | 1.627±0.017 | 5.037±0.017 | 0.533 |
2.5<y<3.0 | 0.895±0.003 | 0.462±0.008 | 1.109±0.006 | 1.606±0.009 | 5.050±0.020 | 0.296 | |
3.0<y<3.5 | 0.892±0.003 | 0.455±0.007 | 1.108±0.007 | 1.600±0.010 | 5.036±0.023 | 0.414 | |
3.5<y<4.0 | 0.893±0.005 | 0.453±0.007 | 1.097±0.008 | 1.603±0.010 | 5.026±0.012 | 0.226 | |
4.0<y<4.5 | 0.897±0.006 | 0.440±0.008 | 1.092±0.008 | 1.588±0.018 | 5.030±0.020 | 0.276 | |
| |||||||
Figure 1(c) | 2.0<y<2.5 | 0.900±0.006 | 0.443±0.007 | 1.086±0.008 | 1.607±0.007 | 5.000±0.015 | 0.075 |
2.5<y<3.0 | 0.896±0.003 | 0.440±0.005 | 1.081±0.006 | 1.588±0.012 | 5.000±0.017 | 0.485 | |
3.0<y<3.5 | 0.894±0.008 | 0.435±0.008 | 1.076±0.008 | 1.600±0.005 | 5.000±0.020 | 0.392 | |
3.5<y<4.0 | 0.892±0.006 | 0.430±0.007 | 1.070±0.005 | 1.603±0.005 | 5.008±0.018 | 0.397 | |
4.0<y<4.5 | 0.875±0.008 | 0.430±0.006 | 1.060±0.009 | 1.588±0.010 | 5.003±0.013 | 0.150 | |
| |||||||
Figure 1(d) | 2.0<y<2.5 | 0.896±0.004 | 0.439±0.005 | 1.088±0.007 | 1.602±0.008 | 5.005±0.018 | 0.557 |
2.5<y<3.0 | 0.899±0.008 | 0.420±0.007 | 1.086±0.009 | 1.582±0.012 | 5.010±0.015 | 0.324 | |
3.0<y<3.5 | 0.895±0.007 | 0.423±0.007 | 1.082±0.007 | 1.612±0.012 | 5.000±0.015 | 0.438 | |
3.5<y<4.0 | 0.893±0.008 | 0.430±0.006 | 1.070±0.008 | 1.608±0.007 | 5.008±0.017 | 0.517 | |
4.0<y<4.5 | 0.885±0.005 | 0.426±0.008 | 1.065±0.008 | 1.583±0.010 | 5.012±0.013 | 0.330 | |
| |||||||
Figure 2(a) | 2.0<y<2.5 | 0.896±0.002 | 0.424±0.004 | 1.093±0.005 | 1.605±0.008 | 5.000±0.020 | 0.258 |
2.5<y<3.0 | 0.886±0.004 | 0.420±0.006 | 1.090±0.005 | 1.612±0.005 | 5.003±0.015 | 0.245 | |
3.0<y<3.5 | 0.890±0.005 | 0.425±0.005 | 1.085±0.007 | 1.603±0.005 | 5.007±0.013 | 0.179 | |
3.5<y<4.0 | 0.886±0.004 | 0.421±0.004 | 1.078±0.007 | 1.600±0.005 | 5.012±0.016 | 0.413 | |
4.0<y<4.5 | 0.889±0.003 | 0.430±0.007 | 1.072±0.006 | 1.600±0.007 | 5.022±0.016 | 0.899 | |
| |||||||
Figure 2(b) | 2.0<y<2.5 | 0.870±0.004 | 0.443±0.005 | 1.120±0.005 | 1.627±0.007 | 4.988±0.018 | 2.087 |
2.5<y<3.0 | 0.852±0.003 | 0.441±0.004 | 1.115±0.005 | 1.622±0.005 | 4.992±0.016 | 2.057 | |
3.0<y<3.5 | 0.850±0.003 | 0.435±0.005 | 1.109±0.007 | 1.623±0.008 | 4.825±0.015 | 1.321 | |
3.5<y<4.0 | 0.802±0.004 | 0.441±0.006 | 1.093±0.007 | 1.613±0.008 | 4.867±0.017 | 2.980 | |
4.0<y<4.5 | 0.847±0.003 | 0.440±0.006 | 1.095±0.005 | 1.605±0.010 | 5.000±0.021 | 0.902 | |
| |||||||
Figure 3(a) | 2.0<y<2.5 | 0.860±0.004 | 0.445±0.005 | 1.094±0.006 | 1.626±0.006 | 4.095±0.023 | 1.221 |
2.5<y<3.0 | 0.867±0.003 | 0.452±0.006 | 1.089±0.005 | 1.650±0.008 | 4.452±0.018 | 1.569 | |
3.0<y<3.5 | 0.868±0.005 | 0.442±0.007 | 1.088±0.007 | 1.635±0.007 | 4.380±0.020 | 1.937 | |
3.5<y<4.0 | 0.865±0.003 | 0.435±0.005 | 1.085±0.007 | 1.630±0.008 | 4.630±0.024 | 1.070 | |
4.0<y<4.5 | 0.858±0.003 | 0.430±0.007 | 1.082±0.008 | 1.608±0.010 | 4.672±0.026 | 1.062 | |
| |||||||
Figure 3(b) | 2.0<y<2.5 | 0.886±0.004 | 0.522±0.005 | 1.116±0.006 | 1.635±0.005 | 3.150±0.015 | 0.061 |
2.5<y<3.0 | 0.867±0.005 | 0.512±0.007 | 1.109±0.006 | 1.653±0.008 | 3.352±0.017 | 0.886 | |
3.0<y<3.5 | 0.887±0.003 | 0.512±0.006 | 1.108±0.007 | 1.644±0.007 | 3.365±0.017 | 0.308 | |
3.5<y<4.0 | 0.865±0.005 | 0.510±0.005 | 1.100±0.007 | 1.641±0.007 | 3.640±0.020 | 0.464 | |
4.0<y<4.5 | 0.885±0.006 | 0.500±0.007 | 1.098±0.007 | 1.628±0.008 | 3.972±0.020 | 0.638 | |
| |||||||
Figure 4(a) | 2.0<y<2.5 | 0.880±0.003 | 0.432±0.003 | 1.106±0.006 | 1.607±0.005 | 5.012±0.023 | 1.372 |
2.5<y<3.0 | 0.878±0.004 | 0.434±0.004 | 1.102±0.007 | 1.608±0.007 | 4.998±0.025 | 1.788 | |
3.0<y<3.5 | 0.883±0.003 | 0.430±0.004 | 1.095±0.009 | 1.610±0.005 | 4.995±0.025 | 1.816 | |
3.5<y<4.0 | 0.884±0.005 | 0.432±0.004 | 1.085±0.007 | 1.608±0.006 | 4.990±0.020 | 2.044 | |
4.0<y<4.5 | 0.882±0.005 | 0.430±0.005 | 1.088±0.007 | 1.607±0.008 | 5.010±0.027 | 1.639 | |
| |||||||
Figure 4(b) | 2.0<y<2.5 | 0.858±0.003 | 0.428±0.004 | 1.126±0.008 | 1.623±0.008 | 3.956±0.024 | 0.715 |
2.5<y<3.0 | 0.839±0.003 | 0.430±0.002 | 1.122±0.008 | 1.608±0.007 | 3.998±0.027 | 0.739 | |
3.0<y<3.5 | 0.705±0.004 | 0.425±0.004 | 1.095±0.007 | 1.601±0.005 | 3.977±0.023 | 3.504 | |
3.5<y<4.0 | 0.717±0.003 | 0.432±0.003 | 1.092±0.006 | 1.603±0.007 | 3.890±0.030 | 6.600 | |
4.0<y<4.5 | 0.715±0.005 | 0.427±0.003 | 1.088±0.007 | 1.603±0.006 | 4.010±0.030 | 6.856 | |
| |||||||
Figure 5(a) | 2.0<y<2.5 | 0.776±0.002 | 0.537±0.003 | 1.054±0.006 | 1.556±0.013 | 2.355±0.010 | 1.325 |
2.5<y<3.0 | 0.780±0.003 | 0.530±0.005 | 1.056±0.004 | 1.568±0.018 | 2.338±0.012 | 0.490 | |
3.0<y<3.5 | 0.865±0.005 | 0.545±0.005 | 1.065±0.007 | 1.541±0.008 | 2.372±0.012 | 0.282 | |
3.5<y<4.0 | 0.776±0.003 | 0.539±0.004 | 1.052±0.004 | 1.563±0.012 | 2.490±0.015 | 0.503 | |
4.0<y<4.5 | 0.903±0.005 | 0.520±0.005 | 1.058±0.004 | 1.433±0.023 | 4.052±0.022 | 3.266 | |
| |||||||
Figure 5(b) | 2.0<y<2.5 | 0.912±0.004 | 0.567±0.005 | 1.084±0.006 | 1.756±0.009 | 2.655±0.015 | 0.855 |
2.5<y<3.0 | 0.890±0.003 | 0.530±0.005 | 1.079±0.007 | 1.791±0.012 | 2.000±0.015 | 0.921 | |
3.0<y<3.5 | 0.870±0.003 | 0.568±0.006 | 1.075±0.008 | 1.815±0.018 | 2.000±0.013 | 0.976 | |
3.5<y<4.0 | 0.907±0.005 | 0.533±0.007 | 1.066±0.008 | 1.708±0.025 | 2.430±0.017 | 1.801 | |
4.0<y<4.5 | 0.896±0.003 | 0.578±0.005 | 1.068±0.008 | 1.733±0.010 | 2.052±0.010 | 1.219 | |
| |||||||
Figure 5(c) | 2.0<y<2.5 | 0.705±0.003 | 0.550±0.007 | 1.074±0.005 | 1.726±0.018 | 1.705±0.017 | 2.793 |
2.5<y<3.0 | 0.716±0.002 | 0.552±0.008 | 1.079±0.007 | 1.788±0.024 | 2.000±0.010 | 1.146 | |
3.0<y<3.5 | 0.725±0.005 | 0.562±0.008 | 1.078±0.007 | 1.755±0.015 | 2.185±0.015 | 2.025 | |
3.5<y<4.0 | 0.750±0.003 | 0.573±0.005 | 1.076±0.006 | 1.738±0.018 | 2.630±0.020 | 7.854 | |
4.0<y<4.5 | 0.736±0.005 | 0.558±0.006 | 1.072±0.008 | 1.710±0.025 | 2.052±0.012 | 6.918 |
[figures omitted; refer to PDF]
Figures 2 and 3 show the transverse momentum spectra of
[figures omitted; refer to PDF]
[figures omitted; refer to PDF]
The transverse momentum spectra of
[figures omitted; refer to PDF]
The transverse momentum spectra of
[figures omitted; refer to PDF]
To see clearly the relationships between the free parameters (T, q,
Table 2
Values of intercepts, slopes, and
Figure | Type | Intercept | Slope | |
---|---|---|---|---|
Figure 6(a) | prompt | 0.436±0.007 | 0.000±0.002 | 0.363 |
| 0.498±0.005 | -0.013±0.002 | 0.144 | |
prompt | 0.459±0.003 | -0.007±0.001 | 0.062 | |
| 0.438±0.015 | -0.003±0.004 | 1.778 | |
| ||||
Figure 6(b) | prompt | 0.436±0.003 | -0.001±0.001 | 0.168 |
| 0.428±0.006 | 0.000±0.002 | 1.010 | |
| ||||
Figure 6(c) | prompt | 0.416±0.007 | 0.003±0.002 | 0.686 |
| 0.444±0.006 | -0.001±0.002 | 0.417 | |
| ||||
Figure 6(d) | | 0.550±0.018 | -0.005±0.006 | 4.572 |
| 0.539±0.046 | 0.005±0.014 | 20.526 | |
| 0.535±0.015 | 0.007±0.004 | 2.189 | |
| ||||
Figure 6(e) | prompt | 0.471±0.009 | -0.009±0.003 | 0.791 |
| 0.541±0.006 | -0.009±0.002 | 0.318 | |
| ||||
Figure 7(a) | prompt | 1.120±0.008 | -0.014±0.002 | 0.338 |
| 1.139±0.005 | -0.011±0.002 | 0.153 | |
prompt | 1.116±0.003 | -0.013±0.001 | 0.073 | |
| 1.118±0.006 | -0.012±0.002 | 0.179 | |
| ||||
Figure 7(b) | prompt | 1.145±0.037 | -0.018±0.011 | 8.300 |
| 1.174±0.014 | -0.021±0.004 | 1.049 | |
| ||||
Figure 7(c) | prompt | 1.119±0.002 | -0.011±0.001 | 0.059 |
| 1.153±0.008 | -0.014±0.002 | 0.462 | |
| ||||
Figure 7(d) | | 1.054±0.010 | 0.001±0.003 | 1.096 |
| 1.104±0.005 | -0.009±0.002 | 0.120 | |
| 1.080±0.006 | -0.001±0.002 | 0.250 | |
| ||||
Figure 7(e) | prompt | 1.106±0.002 | -0.006±0.001 | 0.033 |
| 1.135±0.003 | -0.009±0.001 | 0.079 | |
| ||||
Figure 8(a) | prompt | 1.641±0.013 | -0.007±0.004 | 0.659 |
| 1.657±0.013 | -0.016±0.004 | 0.447 | |
prompt | 1.612±0.017 | -0.005±0.005 | 1.540 | |
| 1.605±0.029 | -0.002±0.009 | 2.584 | |
| ||||
Figure 8(b) | prompt | 1.608±0.003 | 0.000±0.001 | 0.072 |
| 1.637±0.012 | -0.009±0.004 | 1.088 | |
| ||||
Figure 8(c) | prompt | 1.618±0.007 | -0.004±0.002 | 0.566 |
| 1.652±0.006 | -0.011±0.002 | 0.190 | |
| ||||
Figure 8(d) | | 1.695±0.084 | -0.050±0.025 | 10.642 |
| 1.844±0.080 | -0.026±0.024 | 8.408 | |
| 1.797±0.057 | -0.016±0.017 | 2.304 | |
| ||||
Figure 8(e) | prompt | 1.666±0.026 | -0.011±0.008 | 3.927 |
| 1.657±0.018 | -0.005±0.005 | 2.416 | |
| ||||
Figure 9(a) | prompt | 4.997±0.044 | 0.012±0.013 | 1.497 |
| 5.060±0.014 | -0.008±0.004 | 0.223 | |
prompt | 4.993±0.006 | 0.003±0.002 | 0.033 | |
| 4.999±0.009 | 0.002±0.003 | 0.112 | |
| ||||
Figure 9(b) | prompt | 5.009±0.020 | -0.002±0.006 | 0.215 |
| 3.966±0.099 | 0.000±0.030 | 3.457 | |
| ||||
Figure 9(c) | prompt | 4.974±0.004 | 0.011±0.001 | 0.024 |
| 5.000±0.170 | -0.020±0.051 | 31.168 | |
| ||||
Figure 9(d) | | 0.416±1.036 | 0.709±0.311 | 1450.893 |
| 2.732±0.574 | -0.155±0.173 | 441.653 | |
| 1.254±0.557 | 0.265±0.167 | 402.772 | |
| ||||
Figure 9(e) | prompt | 3.580±0.197 | 0.266±0.059 | 30.391 |
| 2.240±0.187 | 0.386±0.056 | 33.711 | |
| ||||
Figure 10(a) | prompt | 2.960±0.110 | -0.161±0.033 | 0.144 |
| 3.692±0.098 | -0.231±0.030 | 2.259 | |
prompt | 3.038±0.071 | -0.191±0.021 | 0.079 | |
| 2.855±0.086 | -0.127±0.026 | 0.076 | |
| ||||
Figure 10(b) | prompt | 3.273±0.087 | -0.170±0.026 | 3.307 |
| 3.867±0.190 | -0.290±0.057 | 18.317 | |
| ||||
Figure 10(c) | prompt | 3.031±0.060 | -0.157±0.018 | 0.031 |
| 3.669±0.099 | -0.221±0.030 | 4.616 | |
| ||||
Figure 10(d) | | 5.429±0.278 | -0.155±0.083 | 0.029 |
| 5.529±0.697 | 0.086±0.021 | 0.025 | |
| 6.730±0.254 | -0.252±0.076 | 0.015 | |
| ||||
Figure 10(e) | prompt | 3.126±0.026 | -0.134±0.008 | 0.002 |
| 3.995±0.070 | -0.217±0.021 | 0.048 | |
| ||||
Figure 11(a) | prompt | 2.597±0.082 | -0.151±0.025 | 0.020 |
| 3.198±0.078 | -0.200±0.024 | 0.076 | |
prompt | 2.551±0.178 | -0.129±0.054 | 0.201 | |
| 2.543±0.059 | -0.131±0.018 | 0.011 | |
| ||||
Figure 11(b) | prompt | 2.847±0.080 | -0.151±0.024 | 0.149 |
| 3.379±0.163 | -0.249±0.049 | 5.393 | |
| ||||
Figure 11(c) | prompt | 2.620±0.040 | -0.135±0.012 | 0.005 |
| 3.215±0.094 | -0.204±0.028 | 0.195 | |
| ||||
Figure 11(d) | | 4.537±0.238 | -0.134±0.072 | 0.039 |
| 5.039±0.273 | -0.115±0.082 | 0.015 | |
| 5.527±0.223 | -0.205±0.067 | 0.023 | |
| ||||
Figure 11(e) | prompt | 2.574±0.264 | -0.057±0.079 | 0.138 |
| 3.513±0.064 | -0.201±0.019 | 0.014 |
[figures omitted; refer to PDF]
[figures omitted; refer to PDF]
[figures omitted; refer to PDF]
[figures omitted; refer to PDF]
It should be noted that Figure 6(d) shows a slight increase of T for
The meanings of parameters can be explained by us. The invariant or slight decreasing temperature parameter renders that the excitation degree of the interacting system keeps invariant or slight decreasing trend with the increase of rapidity. The temperature is not the “real” temperature at the stage of kinetic freeze-out, but the effective temperature in which the contribution of flow effect is not excluded. Even the flow effect is excluding, the kinetic freeze-out temperature from the spectra of heavy quarkonia is much higher than that from the spectra of light particles. This means that the heavy quarkonia produce much earlier than light particles in the collision process.
All values of the entropy index are close to 1, which means that the interacting system stays approximately at the (local) equilibrium state, even if in small collision systems such as pp and p-Pb collisions. The decreasing entropy index renders that the interacting system reaches a more equilibrium state in the very forward rapidity region. We believe that the interacting system stays at the (local) equilibrium state in large collision systems such as lead-lead and other nucleus-nucleus collisions.
The decreasing
The contribution ratios of the first component (the Tsallis statistics) are in the range from 0.705 to 0.912, which are listed only in Table 1 and not shown in plot to avoid trivialness. The main contribution ratios reflect the strong power of the Tsallis statistics in the fitting process for the
We would like to point out that the Hagedorn function is indeed needed, though the Tsallis statistics has power-law tail in high
Comparing with that in pp collisions, the parameters from the spectra in p-Pb collisions do not show particular behaviors. This means that the cold nuclear effect affects mainly the normalizations of
It should be noted that a given free parameter for prompt
In addition, in which concerns prompt
To analyze further the behaviors of parameters, Figures 10 and 11 present the dependence of mean
[figures omitted; refer to PDF]
[figures omitted; refer to PDF]
According to [37–39], if the initial temperature (
Similar to most of free parameters, the derived quantities
Before conclusions, we would like to point out that the present work is a new analysis on the LHCb data [15–18] analyzed in our recent work [41] which does not fit very well the spectra in high
4. Conclusions
We summarize here our main observations and conclusions.
The rapidity dependent transverse momentum spectra of heavy quarkonia (
The invariant or slight decreasing temperature parameter renders that the excitation degree of the interacting system keeps invariant or slight decreasing trend with the increase of rapidity. The heavy quarkonia produce much earlier than light particles due to very high temperature from the spectra of heavy quarkonia. The considered interacting system stays approximately at the (local) equilibrium state due to the entropy index being close to 1. The decreasing entropy index renders that the system stays at a more equilibrium state in the very forward rapidity region.
A slightly narrow
The cold nuclear effect does not affect largely the production of heavy quarkonia due to the fact that the parameters from the spectra in p-Pb collisions do not show particular behaviors, comparing with that in pp collisions. Not only the spectator nucleons but also the “spectator” quarks do not affect largely the production of heavy quarkonia. The heavy quarkonia are only produced in the process of violent impact between two “participant” quarks in the considered collisions.
The mean transverse momentum
Ethical Approval
The authors declare that they are in compliance with ethical standards regarding the content of this paper.
Conflicts of Interest
The authors declare that they have no conflicts of interest regarding the publication of this paper.
Acknowledgments
Li-Na Gao acknowledges the financial supports from the National Natural Science Foundation of China under Grant no. 11847003, the Doctoral Scientific Research Foundation of Taiyuan Normal University under Grant no. I170167, and the Doctoral Scientific Research Foundation of Shanxi Province under Grant no. I170269. Other authors acknowledge the financial supports from the National Natural Science Foundation of China under Grant nos. 11575103 and 11847311, the Shanxi Provincial Natural Science Foundation under Grant no. 201701D121005, and the Fund for Shanxi “1331 Project” Key Subjects Construction.
[1] B. I. Abelev, M. M. Aggarwal, Z. Ahammed, "Systematic measurements of identified particle spectra in pp, d+Au, and Au+Au collisions at the STAR detector," Physical Review C, vol. 79, 2009.
[2] B. I. Abelev, M. Planinić, N. Poljak, "Identified particle production, azimuthal anisotropy, and interferometry measurements in Au + Au collisions at s N N = 9.2 GeV," Physical Review C, vol. 81,DOI: 10.1103/PhysRevC.81.024911, 2010.
[3] E. Schnedermann, J. Sollfrank, U. Heinz, "Thermal phenomenology of hadrons from 200A GeV S+S collisions," Physical Review C, vol. 48, pp. 2462-2475, DOI: 10.1103/PhysRevC.48.2462, 1993.
[4] G. Wilk, Z. Włodarczyk, "Interpretation of the nonextensivity parameter q in some applications of Tsallis statistics and Levy distributions," Physical Review Letters, vol. 84, pp. 2770-2773, DOI: 10.1103/PhysRevLett.84.2770, 2000.
[5] J. Adams, "K 892 * resonance production in Au+Au and p + p collisions at s N N = 200 GeV," Physical Review C, vol. 71, 2005.
[6] L.-N. Gao, F.-H. Liu, R. A. Lacey, "Excitation functions of parameters in Erlang distribution, Schwinger mechanism, and tsallis statistics in RHIC BES program," The European Physical Journal A, vol. 52, 2016.
[7] C. Tsallis, "Possible generalization of boltzmann-gibbs statistics," Journal of Statistical Physics, vol. 52, pp. 479-487, DOI: 10.1007/BF01016429, 1988.
[8] C. Tsallis, "Nonadditive entropy and nonextensive statistical mechanics -an overview after 20 years," Brazilian Journal of Physics, vol. 39,DOI: 10.1590/S0103-97332009000400002, 2009.
[9] W. M. Alberico, P. Czerski, A. Lavagno, M. Nardi, V. Somá, "Signals of non-extensive statistical mechanics in high energy nuclear collisions," Physica A: Statistical Mechanics and its Applications, vol. 387, pp. 467-475, DOI: 10.1016/j.physa.2007.09.005, 2008.
[10] W. M. Alberico, A. Lavagno, "Non-extensive statistical effects in high-energy collisions," The European Physical Journal A, vol. 40, 2009.
[11] G. Wilk, Z. Wlodarezyk, "Multiplicity fluctuations due to the temperature fluctuations in high-energy nuclear collisions," Physical Review C, vol. 79, 2009.
[12] J. Cleymans, D. Worku, "Relativistic thermodynamics: transverse momentum distributions in high-energy physics," The European Physical Journal A, vol. 48,DOI: 10.1140/epja/i2012-12160-0, 2012.
[13] C. Y. Wong, G. Wilk, "Tsallis fits to p T spectra and multiple hard scattering in p p collisions at the LHC," Physical Review D, vol. 87,DOI: 10.1103/PhysRevD.87.114007, 2013.
[14] J. Cleymans, G. I. Lykasov, A. S. Parvan, A. S. Sorin, O. V. Teryaev, D. Worku, "Systematic properties of the Tsallis distribution: Energy dependence of parameters in high energy p - p collisions," Physics Letters B, vol. 723, 2013.
[15] R. Aaij, B. Adeva, M. Adinolfi, "Measurement of J / Ψ production in pp collisions at s = 7 TeV," The European Physical Journal C, vol. 71, 2011.
[16] R. Aaij, C. Abellan Beteta, B. Adeva, "Production of J/ ψ and Υ mesons in pp collisions at s = 8 TeV," Journal of High Energy Physics, vol. 2013 no. 06, article no. 064, 2013.
[17] R. Aaij, B. Adeva, M. Adinolfi, "Study of J/ ψ production and cold nuclear matter effects in pPb collisions at s N N = 5 TeV," Journal of High Energy Physics, vol. 2014 no. 02, article no. 072, 2014.
[18] R. Aaij, B. Adeva, M. Adinolfi, "Measurement of forward J/ ψ production cross-sections in pp collisions at s = 13 TeV," Journal of High Energy Physics, vol. 2015 no. 10, article no. 172, 2015.
[19] J. Adam, D. Adamová, M. M. Aggarwal, "Differential studies of inclusive J/ ψ and ψ (2S) production at forward rapidity in Pb-Pb collisions at s N N = 2.76 TeV," Journal of High Energy Physics, vol. 2016 no. 05, article no. 179, 2016.
[20] F.-H. Liu, "Particle production in Au–Au collisions at RHIC energies," Physics Letters B, vol. 583, 2004.
[21] F.-H. Liu, "Dependence of charged particle pseudorapidity distributions on centrality and energy in p ( d ) A collisions at high energies," Physical Review C, vol. 78,DOI: 10.1103/physrevc.78.014902, 2008.
[22] F.-H. Liu, "Unified description of multiplicity distributions of final-state particles produced in collisions at high energies," Nuclear Physics A, vol. 810, pp. 159-172, DOI: 10.1016/j.nuclphysa.2008.06.014, 2008.
[23] S. Ostapchenko, H. J. Drescher, F. M. Liu, T. Pierog, K. Werner, J. Phys, "Consistent treatment of soft and hard processes in hadronic interactions," Journal of Physics G, vol. 28, 2002.
[24] M. G. Ryskin, A. D. Martin, V. A. Khoze, "High-energy strong interactions: from ‘hard’ to ‘soft’," The European Physical Journal C, vol. 71,DOI: 10.1140/epjc/s10052-011-1617-2, 2011.
[25] I. M. Dremin, V. A. Nechitailo, "Soft multiple parton interactions as seen in multiplicity distributions at Tevatron and LHC," Physical Review D, vol. 84, 2011.
[26] A. A. Grinyuk, A. V. Lipatov, G. I. Lykasov, N. P. Zotov, "Transition between soft physics at the LHC and low- x physics at HERA," Physical Review D, vol. 87,DOI: 10.1103/PhysRevD.87.074017, 2013.
[27] J. Cleymans, D. Worku, "The Tsallis distribution in proton-proton collisions at s = 0.9 TeV at the LHC," Journal of Physics G, vol. 39,DOI: 10.1088/0954-3899/39/2/025006, 2012.
[28] M. D. Azmi, J. Cleymans, "Transverse momentum distributions in proton–proton collisions at LHC energies and Tsallis thermodynamics," Journal of Physics G, vol. 41,DOI: 10.1088/0954-3899/41/6/065001, 2014.
[29] B.-C. Li, Y.-Z. Wang, F.-H. Liu, "Formulation of transverse mass distributions in Au–Au collisions at s N N = 200 CeV/nucleon," Physics Letters B, vol. 725,DOI: 10.1016/j.physletb.2013.07.043, 2013.
[30] M. Rybczynski, Z. Wlodarczyk, "Tsallis statistics approach to the transverse momentum distributions in p-p collisions," The European Physical Journal C, vol. 74,DOI: 10.1140/epjc/s10052-014-2785-7, 2014.
[31] H. Zheng, L.-L. Zhu, "Comparing the tsallis distribution with and without thermodynamical description in p + p collisions," Advances in High Energy Physics, vol. 2016, 2016.
[32] R. Odorico, "Does a transverse energy trigger actually trigger on large- P T jets?," Physics Letters B, vol. 118, 1982.
[33] G. Arnison, A. Astbury, B. Aubert, "Transverse momentum spectra for charged particles at the CERN proton-antiproton collider," Physics Letters B, vol. 118,DOI: 10.1016/0370-2693(82)90623-2, 1982.
[34] T. Mizoguchi, M. Biyajima, N. Suzuki, "Analyses of whole transverse momentum distributions in p p - and pp collisions by using a modified version of Hagedorn’s formula," International Journal of Modern Physics A, vol. 32, 2017.
[35] R. Hagedorn, "Multiplicities, p T distributions and the expected hadron-quark-gluon phase transition," La Rivista del Nuovo Cimento, vol. 6, 1983.
[36] H.-L. Lao, F.-H. Liu, B.-C. Li, M.-Y. Duan, R. A. Lacey, "Examining the model dependence of the determination of kinetic freeze-out temperature and transverse flow velocity in small collision system," Nuclear Science and Techniques, vol. 29,DOI: 10.1007/s41365-018-0504-z, 2018.
[37] L. J. Gutay, A. S. Hirsch, R. P. Scharenberg, B. K. Srivastava, C. Pajares, "De-confinement in small systems: Clustering of color sources in high multiplicity p - p collisions at s = 1.8 TeV," International Journal of Modern Physics E, vol. 24,DOI: 10.1142/s0218301315501013, 2015.
[38] A. S. Hirsch, C. Pajares, R. P. Scharenberg, B. K. Srivastava, "De-Confinement in high multiplicity proton-proton collisions at LHC energies," . https://arxiv.org/abs/1803.02301 , 2018
[39] P. Sahoo, S. De, S. K. Tiwari, R. Sahoo, "Energy and centrality dependent study of deconfinement phase transition in a color string percolation approach at RHIC energies," The European Physical Journal A, vol. 54,DOI: 10.1140/epja/i2018-12571-9, 2018.
[40] L.-L. Li, F.-H. Liu, "Excitation functions of kinetic freeze-out temperature and transverse flow velocity in proton-proton collisions," . https://arxiv.org/abs/1805.03342 , 2018
[41] B.-C. Li, T. Bai, Y.-Y. Guo, "On J / ψ and Υ transverse momentum distributions in high energy collisions," Advances in High Energy Physics, vol. 2017, 2017.
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Abstract
The rapidity dependent transverse momentum spectra of heavy quarkonia (
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